Data Access Audit
& Investigation
Complete visibility into who touched what and when
Transform Fragmented Logs Into Actionable Evidence
Breach Investigation
Know Exactly What Was Compromised
Identify every file accessed during a breach window, track the full scope of compromise, and provide board-level reporting with complete confidence.
Regulatory Compliance
Meet Audit Requirements Automatically
Generate comprehensive access audit trails required by SEC, HIPAA, GDPR, SOX, and other regulations, without manual log aggregation.
Anomaly Detection
Catch Threats Before They Escalate
Detect unusual patterns like bulk downloads, after-hours access, or suspicious file interactions that indicate potential insider threats or compromised accounts.
How It Works
Enterprise Results: Forensics That Deliver Answers
Fortune 500 Financial Institution
- Reduced breach investigation time from weeks to hours
- Provided SEC-compliant breach reporting in 48 hours
- Detected and stopped a 26GB data exfiltration attempt
Global Healthcare Provider
- Generated complete HIPAA audit trails automatically
- Identified unauthorized PHI access across 3 departments
- Reduced compliance reporting effort by 92%
Technology Company
- Traced insider threat activity across 8 months
- Provided detailed forensics for law enforcement
- Prevented customer churn by proving data handling compliance
Retail Organization
- Detected after-hours access pattern indicating compromised credentials
- Mapped complete scope of vendor data access
- Passed PCI DSS audit with comprehensive access documentation
More Use Cases
Data Access Review (DAR)
Comply with regulation and ensure least privilege access to data. Map who can access data versus who actually does. Remove unused or excessive rights to improve security. Enforce Just Enough Access (JEA).
Next-Gen Data Loss Prevention (DLP)
Protect data as it moves with unmatched visibility while extending the timeline to not only the past, but also the future. Ensure access justification, privacy, and confidentiality, and prevent unauthorized, uncontrolled, and unaudited data use.
AI Data Access Governance
Control the data accessed by LLMs like Copilot, ChatGPT Enterprise and Glean. Manage agentic AI access and prevent AI from revealing sensitive information. Maintain data lineage across all AI interactions.
Reduced Data Exposure
Prioritize and reduce blast radius: cut data exposure by 90% with predictive protection. Focus on critical data for faster, broader, and more precise security (secure-by-default), even for partially unclassified data.
Latest from Ray Security
01.01.2026
2026 Security Resolutions: Fewer Assumptions, More Evidence
2026 Security Resolutions: Fewer Assumptions, More Evidence Security failures rarely come from missing controls. They come from assumptions that hardened into policy and stopped being questioned. Risk emerges from access and data decisions made over time, through role changes, project work, access sharing, temporary exceptions, and system evolution, that quietly persist long after their original […]
10.10.2025
10 Cool New Data Security Products In 2025
Even in an area of cybersecurity as essential as data protection, the stakes continue to climb higher in 2025. The pressures have mounted both from the intensification of data theft and extortion attacks as well as from the surging adoption of GenAI-powered tools and LLMs, which have drastically heightened the risk of sensitive data being improperly accessed.
24.12.2025
Five Metrics to Reduce Financial Data Risk
Five Metrics to Reduce Financial Data Risk Financial institutions run comprehensive security programs, regular audits, access reviews, and controls testing. Yet when board members or regulators ask whether data risk is moving in the right direction, the answer often requires more explanation than it should. The issue isn’t missing controls. It’s that most reporting focuses […]
